SWORD Extractor Pulling Workarounds out the Eventlog

Wouter van der Waal; Inge van de Weerd; Hajo A. Reijers

SWORD Extractor Pulling Workarounds out the Eventlog

Wouter van der Waal^*, Inge van de Weerd, Hajo A. Reijers

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

Abstract

While workarounds can be used to improve processes, discovering them may be challenging. In earlier work, we showed that the Semi-automated WORkaround Detection (SWORD) framework can be used to detect workarounds in event data. Starting from an event log, the SWORD Extractor demonstrated in this work guides the user through all the necessary steps to find cases that may indicate workarounds, without requiring extensive technical experience. The tool’s design supports the implementation of additional patterns for future research.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	3783
Publication status	Published - 8 Oct 2024
Event	Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining, ICPM-D 2024 - Copenhagen, Denmark Duration: 15 Oct 2024 → …

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors.

Keywords

Automated detection
Business process analysis
Event logs
Process Mining
Workarounds

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paper_337Final published version, 1.12 MBLicence: CC BY

Cite this

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title = "SWORD Extractor Pulling Workarounds out the Eventlog",

abstract = "While workarounds can be used to improve processes, discovering them may be challenging. In earlier work, we showed that the Semi-automated WORkaround Detection (SWORD) framework can be used to detect workarounds in event data. Starting from an event log, the SWORD Extractor demonstrated in this work guides the user through all the necessary steps to find cases that may indicate workarounds, without requiring extensive technical experience. The tool{\textquoteright}s design supports the implementation of additional patterns for future research.",

keywords = "Automated detection, Business process analysis, Event logs, Process Mining, Workarounds",

author = "{van der Waal}, Wouter and Weerd, {Inge van de} and Reijers, {Hajo A.}",

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TY - JOUR

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AU - van der Waal, Wouter

AU - Weerd, Inge van de

AU - Reijers, Hajo A.

PY - 2024/10/8

Y1 - 2024/10/8

N2 - While workarounds can be used to improve processes, discovering them may be challenging. In earlier work, we showed that the Semi-automated WORkaround Detection (SWORD) framework can be used to detect workarounds in event data. Starting from an event log, the SWORD Extractor demonstrated in this work guides the user through all the necessary steps to find cases that may indicate workarounds, without requiring extensive technical experience. The tool’s design supports the implementation of additional patterns for future research.

AB - While workarounds can be used to improve processes, discovering them may be challenging. In earlier work, we showed that the Semi-automated WORkaround Detection (SWORD) framework can be used to detect workarounds in event data. Starting from an event log, the SWORD Extractor demonstrated in this work guides the user through all the necessary steps to find cases that may indicate workarounds, without requiring extensive technical experience. The tool’s design supports the implementation of additional patterns for future research.

KW - Automated detection

KW - Business process analysis

KW - Event logs

KW - Process Mining

KW - Workarounds

UR - http://www.scopus.com/inward/record.url?scp=85207045832&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85207045832

SN - 1613-0073

VL - 3783

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining, ICPM-D 2024

Y2 - 15 October 2024

ER -

SWORD Extractor Pulling Workarounds out the Eventlog

Abstract

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Keywords

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